Daily evapotranspiration assessment by means of residual surface energy balance modeling: A critical analysis under a wide range of water availability

2012 ◽  
Vol 452-453 ◽  
pp. 119-129 ◽  
Author(s):  
C. Cammalleri ◽  
G. Ciraolo ◽  
G. La Loggia ◽  
A. Maltese
2010 ◽  
Vol 11 (1) ◽  
pp. 185-198 ◽  
Author(s):  
Nurit Agam ◽  
William P. Kustas ◽  
Martha C. Anderson ◽  
John M. Norman ◽  
Paul D. Colaizzi ◽  
...  

Abstract The Priestley–Taylor (PT) approximation for computing evapotranspiration was initially developed for conditions of a horizontally uniform saturated surface sufficiently extended to obviate any significant advection of energy. Nevertheless, the PT approach has been effectively implemented within the framework of a thermal-based two-source model (TSM) of the surface energy balance, yielding reasonable latent heat flux estimates over a range in vegetative cover and climate conditions. In the TSM, however, the PT approach is applied only to the canopy component of the latent heat flux, which may behave more conservatively than the bulk (soil + canopy) system. The objective of this research is to investigate the response of the canopy and bulk PT parameters to varying leaf area index (LAI) and vapor pressure deficit (VPD) in both natural and agricultural vegetated systems, to better understand the utility and limitations of this approximation within the context of the TSM. Micrometeorological flux measurements collected at multiple sites under a wide range of atmospheric conditions were used to implement an optimization scheme, assessing the value of the PT parameter for best performance of the TSM. Overall, the findings suggest that within the context of the TSM, the optimal canopy PT coefficient for agricultural crops appears to have a fairly conservative value of ∼1.2 except when under very high vapor pressure deficit (VPD) conditions, when its value increases. For natural vegetation (primarily grasslands), the optimal canopy PT coefficient assumed lower values on average (∼0.9) and dropped even further at high values of VPD. This analysis provides some insight as to why the PT approach, initially developed for regional estimates of potential evapotranspiration, can be used successfully in the TSM scheme to yield reliable heat flux estimates over a variety of land cover types.


2020 ◽  
Vol 15 (01) ◽  
pp. 53-76
Author(s):  
Gabriel Alves Veloso ◽  
Manuel Eduardo Ferreira ◽  
Bernardo Barbosa da Silva

O presente trabalho teve como objetivo a estimativa da evapotranspiração em áreas irrigadas do projeto Jaíba (MG) e áreas circunvizinhas por meio de dados satelitários. Foram utilizadas cinco imagens do satélite Landsat 5 –TM, órbita 219 ponto 70, do ano de 2011. A estimativa da evapotranspiração real diária foi obtida através do algoritmo SEBAL (Surface Energy Balance Algorithm for Land). O SEBAL é constituído de várias etapas, que consiste na estimativa do balanço de radiação e balanço de energia e evapotranspiração. Para a obtenção desses parâmetros, utilizou-se dados da estação meteorológica localizada na cena Landsat. Foram obtidos valores médios para a evapotranspiração no período de 24 horas de 6,85 mm.dia-1, 4,0 mm.dia-1, 2,6 mm.dia-1, 2,2 mm.dia-1 e 3,4 mm.dia-1 para os dias juliano DJ 31, DJ 111, DJ 175, DJ 191 e DJ 255, respectivamente. Observou-se que a evapotranspiração apresentou variação no período analisado devido à quantidade de radiação disponível para cada dia, indicando um comportamento decíduo nas áreas de floresta estacional. A técnica utilizada demonstrou-se eficiente nas análises dos componentes estudados, sendo o SEBAL uma ferramenta importante para a gestão ambiental dos recursos hídricos. Palavras - Chaves: Evapotranspiração; SEBAL; Projeto Jaíba.   DETERMINATION OF REAL EVAPOTRANSPIRATION DAILY IN AREAS OF JAIBA IRRIGATED PROJECT (MINAS GERAIS, BRAZIL) THROUGH IMAGES LANDSAT 5 – TM  Abstract This study aimed to estimate evapotranspiration in irrigated areas of Jaíba project (MG) and surrounding areas through satelitários data. Five images of Landsat 5 -TM were used, orbit 219 point 70, 2011. The estimate of daily evapotranspiration was obtained by SEBAL algorithm (Surface Energy Balance Algorithm for Land) .The SEBAL consists of several stages, consisting in estimating the radiation balance and energy balance and evapotranspiration. To obtain these parameters, we used data from the weather station located on the Landsat scene. Mean values ​​for evapotranspiration were obtained within 24 hours of 6.85 mm.dia-1, 4,0 mm.dia-1, 2,6 mm.dia-1, 2,2-1 and 3 mm.dia , 4 mm.dia-1 for Julian days DJ 31, DJ 111, DJ 175, DJ 191 and DJ 255, respectively. It was observed that the evapotranspiration in growth in the period analyzed due to the amount of radiation available for each day, indicating a behavior in the areas of deciduous seasonal forest. The technique used was efficient in the analysis of the components studied, and the SEBAL an important tool for environmental management of water resources. Keywords: Evapotranspiration; SEBAL; Jaíba project.   DETERMINACIÓN DE LA EVAPOTRANSPIRACIÓN REAL DIARIA EN ÁREAS IRRIGADAS DEL PROYECTO JAÍBA (MINAS GERAIS, BRASIL), MEDIANTE IMAGENES LANDSAT 5 – TM Resumen El presente trabajo tuvo como objetivo la estimativa de evapotranspiración en áreas irrigadas del proyecto Jaíba (MG) y áreas circunvecinas por medio de datos satelitarios. Fueron utilizadas cinco imágenes del satélite Landsat 5 – TM, órbita 219 punto 70, del año 2011. La estimativa de la evapotranspiración real diaria fue obtenida a través del algoritmo SEBAL (Surface Energy Balance AlgorithmforLand). SEBAL es constituido de varias etapas, que consiste en la estimativa del balance de radiación e de energía y evapotranspiración. Para la obtención de esos parámetros, se utilizó datos de la estación meteorológica localizada en la escena Landsat. Fueron obtenidos valores medios para la evapotranspiración en el período de 24 horas de 6,85 mm.dia-1, 4,0 mm.dia-1, 2,6 mm.dia-1, 2,2 mm.dia-1, y 3,4 mm.dia-1 para los días de Juliano DJ 31, DJ 111, DJ 175, DJ 191 y DJ 255, respectivamente. Se observó que la evapotranspiración presentó variación en el período analizado debido a la cantidad de radiación disponible para cada día, indicando un comportamiento caducifolio en las áreas de floresta estacional. La técnica utilizada se mostró eficiente en los análisis de los componentes estudiados, siendo SEBAL una herramienta importante para la gestión ambiental de los recursos hídricos. Palabras - claves: Evapotranspiración; SEBAL; Proyecto Jaíba.


2009 ◽  
Vol 6 (1) ◽  
pp. 1165-1196 ◽  
Author(s):  
J. van der Kwast ◽  
W. Timmermans ◽  
A. Gieske ◽  
Z. Su ◽  
A. Olioso ◽  
...  

Abstract. Accurate quantification of the amount and spatial variation of evapotranspiration is important in a wide range of disciplines. Remote sensing based surface energy balance models have been developed to estimate turbulent surface energy fluxes at different scales. The objective of this study is to evaluate the Surface Energy Balance System (SEBS) model on a landscape scale, using tower-based flux measurements at different land cover units during an overpass of the ASTER sensor over the SPARC 2004 experimental site in Barrax (Spain). Additionally, the effect of replacement of empirical roughness functions in the model by field estimates or literature values is investigated. Modelled fluxes correspond better with flux measurements over uniform land cover compared to cases where different land covers are mixed in the measurement footprint. Furthermore SEBS underestimates sensible heat flux, which is common in one source models.


2010 ◽  
Author(s):  
Prasanna H Gowda ◽  
Terry A Howell ◽  
George Paul ◽  
Thomas H Marek ◽  
Paul D Colaizzi

2021 ◽  
pp. 1-19
Author(s):  
Rebecca L. Stewart ◽  
Matthew Westoby ◽  
Francesca Pellicciotti ◽  
Ann Rowan ◽  
Darrel Swift ◽  
...  

Abstract Surface energy-balance models are commonly used in conjunction with satellite thermal imagery to estimate supraglacial debris thickness. Removing the need for local meteorological data in the debris thickness estimation workflow could improve the versatility and spatiotemporal application of debris thickness estimation. We evaluate the use of regional reanalysis data to derive debris thickness for two mountain glaciers using a surface energy-balance model. Results forced using ERA-5 agree with AWS-derived estimates to within 0.01 ± 0.05 m for Miage Glacier, Italy, and 0.01 ± 0.02 m for Khumbu Glacier, Nepal. ERA-5 data were then used to estimate spatiotemporal changes in debris thickness over a ~20-year period for Miage Glacier, Khumbu Glacier and Haut Glacier d'Arolla, Switzerland. We observe significant increases in debris thickness at the terminus for Haut Glacier d'Arolla and at the margins of the expanding debris cover at all glaciers. While simulated debris thickness was underestimated compared to point measurements in areas of thick debris, our approach can reconstruct glacier-scale debris thickness distribution and its temporal evolution over multiple decades. We find significant changes in debris thickness over areas of thin debris, areas susceptible to high ablation rates, where current knowledge of debris evolution is limited.


2020 ◽  
pp. 1-16
Author(s):  
Tim Hill ◽  
Christine F. Dow ◽  
Eleanor A. Bash ◽  
Luke Copland

Abstract Glacier surficial melt rates are commonly modelled using surface energy balance (SEB) models, with outputs applied to extend point-based mass-balance measurements to regional scales, assess water resource availability, examine supraglacial hydrology and to investigate the relationship between surface melt and ice dynamics. We present an improved SEB model that addresses the primary limitations of existing models by: (1) deriving high-resolution (30 m) surface albedo from Landsat 8 imagery, (2) calculating shadows cast onto the glacier surface by high-relief topography to model incident shortwave radiation, (3) developing an algorithm to map debris sufficiently thick to insulate the glacier surface and (4) presenting a formulation of the SEB model coupled to a subsurface heat conduction model. We drive the model with 6 years of in situ meteorological data from Kaskawulsh Glacier and Nàłùdäy (Lowell) Glacier in the St. Elias Mountains, Yukon, Canada, and validate outputs against in situ measurements. Modelled seasonal melt agrees with observations within 9% across a range of elevations on both glaciers in years with high-quality in situ observations. We recommend applying the model to investigate the impacts of surface melt for individual glaciers when sufficient input data are available.


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